1. Home
  2. Docs
  3. Wireless vibration sensor...
  4. A series versus V series

A series versus V series

The following are the major differences between SVT-A and SVT-V series wireless vibration & temperature sensors.

  1. SVT-A series sensors send out raw acceleration data; while SVT-V series sensors send out calculated result including velocity RMS, acceleration RMS. As a result, SVT-A sensors allow for FFT analysis, filtering, and other advanced vibration analysis, while SVT-V sensors will not have this capability. SVT-V sensors can be used by both technicians without much vibration analysis experiences, or by vibration experts for continuous monitoring.
  2. When SVT-A series sensors take data continuously, due to the large amount of data transferred, their battery will be drained much faster than SVT-V series sensors. SVT-V series sensors are designed to monitor in real time (taking data continuously in the most energy-efficient way). For critical assets, SVT-V series sensors are essential for immediate response to detect accidents.
  3. In the same gateway, only one SVT-A sensor group can take data at a time; while SVT-V sensors in multiple groups are taking data in parallel
  4. An SVT-A sensor can only send data to one gateway at a time; while an SVT-V sensor can send data to multiple gateways at the same time
  5. SVT-A series sensors take data manually, with timer or remote MQTT control; SVT-V series sensors automatically take data continuously and send data to the gateways.

The following are the common properties of SVT-A and SVT-V series wireless vibration & temperature sensors.

  1. Both sensors measure precision temperature with 0.01 degree resolution
  2. Both sensors can measure velocity RMS and acceleration RMS
  3. Both sensors can use the single M6 screw case, or double-screw case
  4. Both sensors use the same electrical design and hardware, but SVT-A and SVT-V sensors use different firmware
  5. Both sensors are used widely by IOT software companies, AI companies or vibration analysts for predictive maintenance purpose.